Fix S2T example (#10741)
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@@ -58,7 +58,7 @@ be installed as follows: ``apt install libsndfile1-dev``
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>>> import soundfile as sf
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>>> model = Speech2TextForConditionalGeneration.from_pretrained("facebook/s2t-small-librispeech-asr")
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>>> processor = Speech2Textprocessor.from_pretrained("facebook/s2t-small-librispeech-asr")
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>>> processor = Speech2TextProcessor.from_pretrained("facebook/s2t-small-librispeech-asr")
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>>> def map_to_array(batch):
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... speech, _ = sf.read(batch["file"])
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@@ -69,7 +69,7 @@ be installed as follows: ``apt install libsndfile1-dev``
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>>> ds = ds.map(map_to_array)
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>>> inputs = processor(ds["speech"][0], sampling_rate=16_000, return_tensors="pt")
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>>> generated_ids = model.generate(input_ids=inputs["input_features"], attention_mask=inputs["attention_mask])
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>>> generated_ids = model.generate(input_ids=inputs["input_features"], attention_mask=inputs["attention_mask"])
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>>> transcription = processor.batch_decode(generated_ids)
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@@ -90,7 +90,7 @@ be installed as follows: ``apt install libsndfile1-dev``
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>>> import soundfile as sf
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>>> model = Speech2TextForConditionalGeneration.from_pretrained("facebook/s2t-medium-mustc-multilingual-st")
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>>> processor = Speech2Textprocessor.from_pretrained("facebook/s2t-medium-mustc-multilingual-st")
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>>> processor = Speech2TextProcessor.from_pretrained("facebook/s2t-medium-mustc-multilingual-st")
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>>> def map_to_array(batch):
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... speech, _ = sf.read(batch["file"])
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